1 to 25 of 403 Remote/Hybrid SQL Jobs in London

commercial experience of Kimball dimensional modelling and dbt transformations. Experience using Git and Azure DevOps for source control, testing and CI/CD. Strong SQL skills and experience with complex data structures. Experience building and supporting enterprise data warehouses or similar analytical platforms. Experience developing reliable ETL or ELT processes ...

Data Engineer in enterprise environments. Strong hands-on experience with: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake SQL Python Experience designing and developing ETL/ELT pipelines. Strong understanding of data modelling and data warehousing principles. Experience working with large-scale datasets and cloud-based ...

quality, troubleshoot issues and continuously improve existing engineering processes and workflows. Required Skills Commercial experience in a Data Engineering or Data Developer role. Strong SQL and Python programming skills. Hands-on experience with Google BigQuery and Google Cloud Platform. Experience implementing cloud-based data solutions. Experience integrating Salesforce Marketing Cloud ...

Senior SQL Server Database Administrator (DBA) Kingston, Surrey Hybrid - £85,000 An established and rapidly growing business are looking for an experienced Senior SQL Server Database Administrator to take full technical ownership of their SQL Server estate, driving the modernisation, scalability, performance and resilience of our database services across … accountability, collaboration and engineering excellence. Key Responsibilities Database Architecture and Design Own and govern relational database design and data modelling standards across the SQL Server estate. Work with development teams early in the delivery lifecycle to design scalable schemas, appropriate data types, effective indexing strategies and partitioning solutions. Ensure database ...

ResponsibilitiesImplement end-to-end Microsoft Fabric solutions based on approved architecture, including OneLake, Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, Notebooks (PySpark/Spark SQL) and Real-Time IntelligenceBuild medallion architectures (Bronze/Silver/Gold), including incremental loads, change data capture, slowly changing dimensions and error handlingSet up ingestion … from diverse sources (SQL databases, APIs, files, SaaS applications, SAP, streaming sources) using pipelines, shortcuts and mirroringWrite clean, reusable and tested code in PySpark, Spark SQL, T-SQL and KQL, optimizing Delta tablesAdd data quality checks, validation rules, logging and alerting to data pipelinesBuild enterprise semantic models (star schema) using ...

modern data architectures.- Experience working in agile environments (e.g. sprint planning, stand-ups, retrospectives).- Proficiency with data and reporting tools (e.g. SQL, Python, Power BI, Tableau).- Experience with agile and collaboration tooling (e.g. JIRA, Confluence, SharePoint).- Relevant certifications (e.g. BCS/ISEB Business Analysis, Scrum, SAFe ...

data platforms: Azure, AWS, and Google Cloud Platform (GCP). Strong experience with data warehousing, data lakes, and lakehouse architectures. Hands-on experience with SQL and at least one programming language such as Python, Scala, or Java. ETL/ELT design and data pipeline orchestration. Streaming and event-driven data ...

insights and recommendations for senior stakeholders. Essential Skills & Experience Minimum 5 years' experience in Data Analysis, Data Management, Business Intelligence or Security Analytics. Strong SQL skills and practical experience using Python or equivalent analytical tools. Strong Power BI experience, including semantic modelling and dashboard development. Experience with enterprise data modelling ...

operatesWhat skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisionsExcellent SQL skills and experience of applying analytical and statistical approaches to problem solvingProven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervisionExcellent ...

risks and opportunities Contributing to a modern cloud-based data platform and best-practice data governance processes Your Skills & Experience Strong commercial experience with SQL and data modelling Experience working with complex, fragmented or low-quality datasets Knowledge of data quality improvement, reconciliation and master data challenges Experience building analytical ...

experience in data analysis, business analytics, or a similar role, with a proven record of translating data insights into business outcomesHighly proficient in SQL, Excel, and data visualization/reporting tools (e.g., Looker, Tableau, Power BI)Strong analytical and problem-solving abilities paired with excellent attention to detailExperience working with ...

across the full analytics and modelling lifecycle - problem formulation, exploratory data analysis, model design, build, testing and handoverExperience working with common tools like python, SQL, Excel and data visualisation solutions for modelling and analysis. Experience of leading and delivering solutions that involved one or more of the following specialisms: advanced ...

database solutions and the scope to imprint your own thinking on how they're built. You will be working with our enterprise-level SQL Server core data platform, with the opportunity to expand your horizons by contributing to work across our full stack — C#, Python, Node, React, R, and Machine … Learning and by getting involved as we begin to bring modern data fabrics such as Snowflake and Databricks alongside our SQL Server core. What we are looking forSomeone who has grown from strong, hands-on SQL development into thinking architecturally about data, schema design, data modelling, and the trade-offs ...

back-end servicesHands-on experience with Microsoft Azure and DatabricksUnderstanding of generative AI, large language models and AI-enabled application developmentStrong knowledge of SQL, relational databases and enterprise system integrationExperience with Git-based development workflows and GitHub Actions CI/CD pipelinesUnderstanding of authentication, authorization, application security and cloud operationsStrong ...

experience with Databricks or Snowflake on AWS. Programming & Orchestration: Proven Python skills, including deep expertise in PySpark (or Spark) and Airflow. Data Modelling: Advanced SQL skills and extensive experience with end-to-end data modelling. Data Integration: Proven experience building both batch and real-time data integrations. CI/ ...

EXPERIENCE ESSENTIAL CRITERIA Strong experience designing, building and maintaining scalable data pipelines and integration solutions using Apache Airflow (or similar orchestration platforms), Python, SQL and bash/linux. Experience developing cloud-native data platforms and solutions on AWS, including working with cloud data warehouse technologies such as Amazon Redshift ...

Have Skills & Experience Deep expertise designing and building scalable data pipelines and data products in cloud environments Strong hands-on experience with Databricks, Spark, SQL, and Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional ...

Data Engineering . Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills and experience working in a client-facing environment. A proactive approach with strong problem ...

Data Engineering . Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills and experience working in a client-facing environment. A proactive approach with strong problem ...

Data Engineering . Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills and experience working in a client-facing environment. xehkeey A proactive approach with strong ...

quality across all reporting outputs. Required Skills & Experience Experience as a Data Analyst within Payments, Banking, FinTech, Cards , or Financial Services . Strong SQL skills for data extraction and analysis. Experience with Power BI, Tableau , or similar visualisation tools. Knowledge of customer segmentation, reporting, and analytics. Strong analytical and problem ...

request/response architectures. Experience with data mapping, transformation, migration, reconciliation, error handling and retry strategies, alongside development skills in C#/.NET, SQL and/or JavaScript. Experience with source control and deployment pipelines using Azure DevOps or GitHub, supported by strong analytical, problem-solving and stakeholder communication skills. ...

have strong data engineering experience, combining hands-on technical capability with leadership and stakeholder engagement skills. Key requirements include: Strong programming skills in Python, SQL or similar programming languages. Extensive experience with AWS Experience building, maintaining and optimising data pipelines and ETL processes. Understanding of data engineering principles, data management ...

driven automation and insight generation Qualifications WHAT YOU’LL BRING: You have strong quantitative skills with hands-on data manipulation and analysis, advanced SQL skills and experience working with data pipelines You have strong communication skills and an ability to translate business problems into analytical solutions You have experience working ...

information architecture, and data design principles, with the ability to align logical and physical data structures to business, operational, and regulatory requirements. Proficient in SQL and data modelling tools. Analytics & Business Intelligence: Experience enabling reporting, analytics, and decision-support capabilities that drive business outcomes across insurance functions. Ability to design ...